Cognizant

Principal Semantic Architect

Cognizant • $145K — $175K *
Hartford, CT 06106In-Person
Information Technology
Less than 5 years of experience
Today
Be an Early Applicant
Job Overview by Ladders

Qualifications

  • Extensive experience in DataLake design for resilient ingestion zones and data access.
  • Strong skills in Azure and AWS cloud integration for efficient data models.
  • Deep expertise in Snowflake for optimizing performance and cost targets.
  • Advanced knowledge of Databricks for unifying engineering and ML workflows.
  • Experience in LLM GenAI platform integration for high-quality generative applications.
  • Exposure to property and casualty insurance for relevant data modeling standards.

Responsibilities

  • Design and maintain enterprise data models aligning with business objectives.
  • Develop optimized data structures in Snowflake and Databricks to improve performance.
  • Implement data modeling standards to ensure long-term maintainability.
  • Collaborate with teams to translate business requirements into scalable data models.
  • Architect integration patterns between DataLake and LLM GenAI platforms.
  • Document data lineage for compliance and transparency.
  • Conduct impact assessments for enhancements to minimize disruption.

Benefits

  • Collaborative hybrid work environment in a global MNC setting.
  • Opportunity to lead and design innovative data solutions.
  • Access to cutting-edge technologies and cloud platforms.
  • Cross-team collaboration enhancing professional growth.
  • Involvement in strategic and high-impact analytics projects.
Full Job Description
Job Summary

Drive strategic data modeling solutions for complex analytical and operational platforms spanning DataLake cloud ecosystems and advanced LLM GenAI integration architecture. Apply extensive experience in Azure AWS Snowflake and Databricks to design scalable data assets that power decision intelligence. Collaborate across teams using a hybrid work model and support day shift delivery in a global MNC environment.

Responsibilities
  • Design and maintain enterprise data models that align business objectives with robust logical and physical structures across DataLake and multiple cloud platforms to ensure consistent and reliable data usage across the organization.
  • Develop optimized data structures and patterns in Snowflake and Databricks that improve query performance reduce compute cost and enable flexible analytics for diverse internal and external stakeholders.
  • Define and implement data modeling standards and best practices that govern naming conventions metadata management and versioning to foster long term maintainability and reduce technical debt.
  • Collaborate closely with data engineers and solution architects to translate complex business requirements into scalable data models that support ingestion transformation and consumption in Azure and AWS environments.
  • Architect integration patterns between DataLake operational data stores and LLM GenAI platforms to enable secure and governed access to curated data assets for advanced machine learning and generative workloads.
  • Map source systems to target data models and document lineage in detail so that downstream consumers can trace data origin understand transformations and comply with regulatory and audit expectations.
  • Conduct thorough impact assessments and change analysis for proposed enhancements to data structures to minimize disruption maintain backward compatibility and ensure stable performance for critical applications.
  • Review and refine data partitioning clustering and indexing strategies within Snowflake and Databricks environments to improve scalability for large datasets and reduce latency for analytical queries.
  • Collaborate with governance and security teams to embed data quality checks access controls and compliance policies into data modeling designs that safeguard sensitive information and respect privacy regulations.
  • Provide technical guidance to project teams on data modeling concepts including normalization dimensional modeling and schema evolution to ensure consistency across multiple programs and regions.
  • Engage with business partners to capture conceptual data requirements in clear models that bridge domain understanding and technology implementation especially for scenarios that benefit from LLM and GenAI solutions.
  • Evaluate new cloud data platform capabilities and emerging modeling techniques to continuously improve data architecture decisions and enhance the organizations ability to deliver innovative digital solutions.
  • Document data models integration patterns and metadata in accessible repositories so that teams can reuse assets reduce duplication of effort and accelerate delivery of new analytical products.


Qualifications
  • Apply extensive experience in DataLake design to create resilient ingestion zones curated layers and consumption views that support both batch and near real time data access.
  • Leverage strong Azure and AWS cloud skills to integrate storage compute and security services into data models that operate efficiently across hybrid and multi cloud environments.
  • Utilize deep Snowflake expertise to configure schemas virtual warehouses and resource monitors that align with performance and cost optimization targets for enterprise analytics.
  • Employ advanced Databricks knowledge to design notebooks delta tables and lakehouse patterns that unify data engineering and machine learning workflows on shared models.
  • Use practical experience in LLM GenAI platform integration architecture to structure prompt ready datasets embeddings and knowledge stores that improve quality and safety of generative applications.
  • Draw on property and casualty insurance domain exposure when available to model policy claims risk and exposure data in ways that support underwriting pricing and regulatory reporting teams.


Certifications Required

Preferred certifications include Azure Data Engineer Associate AWS Certified Data Analytics Specialty Snowflake SnowPro Core and Databricks Data Engineer Associate.

About Cognizant

TriZetto is Powering Integrated Healthcare Management. With technology solutions touching more than half the U.S. population today, TriZetto is uniquely positioned to drive the convergence of core benefit administration, care management and constituent engagement. TriZetto provides premier information technology solutions that enable payers and other constituents in the healthcare supply chain to improve the coordination of benefits and care for healthcare consumers.

Cognizant Careers

Join the vibrant team at Cognizant, a leading provider of information technology, consulting, and business process services. Cognizant is not just a company; it's a community where innovation, leadership, and diversity are valued and where every team member is encouraged to thrive.

Work You’ll Do

At Cognizant, we are dedicated to helping the world's leading companies build stronger businesses — not just for today but for the future. This commitment to growth and sustainability is what makes Cognizant a unique place to advance your career.

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Whether you're looking for an entry-level position or a more senior role, Cognizant offers a plethora of job opportunities that could be perfect for you. Our hiring process is designed to be transparent and engaging, ensuring that every candidate is able to showcase their skills and potential fully.

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Join a team where innovation is at the core of everything we do. Cognizant’s professionals are not just part of a company; they're part of a groundbreaking environment that combines technology, insights, and leadership to foster innovation across global industries.

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Kickstart your career with Cognizant’s internship programs. These opportunities allow you to gain hands-on experience, develop your professional skills, and network with experts in your field. An internship at Cognizant is a stepping stone to full-time employment and a chance to see how your studies apply in the real world.

Professional Growth and Development

Cognizant is committed to the professional growth of its employees. With access to cutting-edge training, leadership programs, and diversity initiatives, you can build a career that’s equipped for the demands of tomorrow’s business landscape.

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Our employees enjoy a range of benefits designed to support their physical, financial, and emotional well-being. Cognizant’s culture is built on a foundation of respect and inclusivity, where everyone’s contribution is valued. Join us and be part of a team that celebrates diversity and is driven to make a positive impact on the world.

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Enhance your career prospects at Cognizant through our robust networking events. Prepare your resume, sharpen your interview skills, and connect with leaders across the industry to unlock new career paths. At Cognizant, we don’t just offer jobs; we offer career journeys. Be part of a team that’s committed to your long-term career growth and professional development. Join Cognizant today and be a part of our success story.
Learn more about Cognizant
Size
340,400 employees
Market Cap
$28.7 billion
Industry
Information Technology
Net Income
$1.3 billion
Founded
1994
5 Year Trend
+6.5%
Revenue
$16.6 billion
NASDAQ
CTSH
* Ladders Estimates

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